EOL_HF

Data EOL: temperature (°C), salinity and oxygen (µmol kg-1)

January 2018 - December 2022 - Temperature and Salinity

By autocorrelation + decompose function or Mann-Kendall : not possible because of gaps

##               Slope     SE Slope       P Slope Intercept  SE int.        P int.
## sal_ano  0.02632235 0.0007535072 2.728093e-263 -53.18294 1.522422 2.728875e-263
## temp_ano 0.03224041 0.0040675506  2.316919e-15 -65.14189 8.218505  2.316956e-15
##                  F    df          R2       P value
## sal_ano  1220.3225 39008 0.030334909 2.728093e-263
## temp_ano   62.8254 39938 0.001570603  2.316919e-15

Temperature

Salinity

## Oxygen

## AOU

Daily dataset (8AM-10AM from January 2018 to December 2022) - Temperature and Salinity

Missing values : - april 2019

monthly_means_EOL2 <- ungroup(EOL_daily) %>%
  mutate(Month = format(datetime, format="%m")) %>%
  group_by(Month) %>%
  summarise(
    sal_month = mean(salinity, na.rm = TRUE),
    temp_month = mean(temperature, na.rm = TRUE))

monthly_means_EOL2
## # A tibble: 12 × 3
##    Month sal_month temp_month
##    <chr>     <dbl>      <dbl>
##  1 01         38.0       14.6
##  2 02         38.1       13.9
##  3 03         38.0       13.8
##  4 04         37.9       14.9
##  5 05         37.8       18.0
##  6 06         37.8       22.2
##  7 07         37.9       25.9
##  8 08         38.1       26.5
##  9 09         38.2       24.4
## 10 10         38.1       21.2
## 11 11         37.9       18.1
## 12 12         38.0       16.4
##                Slope    SE Slope      P Slope Intercept   SE int.       P int.
## sal_ano   0.01730698 0.003442049 5.484206e-07 -34.96781  6.954476 5.484241e-07
## temp_ano -0.01161644 0.019925688 5.599783e-01  23.47092 40.259700 5.599784e-01
##                  F   df           R2      P value
## sal_ano  25.281821 1676 0.0148604542 5.484206e-07
## temp_ano  0.339875 1710 0.0001987178 5.599783e-01

Temperature

Salinity